AI Analysis
The package exhibits medium risk due to its high shell execution risk and moderate network interaction risk. While there is no evidence of obfuscation or credential theft, the maintainer's metadata suggests potential unreliability.
- High shell execution risk
- Moderate network interaction risk
- Inexperienced maintainer
Per-check LLM notes
- Network: Network calls may be legitimate if the package requires external API interactions, but should be thoroughly reviewed for destination and purpose.
- Shell: Subprocess execution can indicate potential for arbitrary command execution, suggesting high risk unless clearly justified within the package's functionality.
- Obfuscation: No obfuscation patterns detected, indicating low risk.
- Credentials: No credential harvesting patterns detected, indicating low risk.
- Metadata: The maintainer has a new or inactive account with limited package history and lacks a proper author name.
Package Quality Overall: Medium (5.6/10)
Test suite present β 1 test file(s) found
Test runner config found: pyproject.toml1 test file(s) detected (e.g. test_wizard_team_setup.py)
Some documentation present
Detailed PyPI description (7983 chars)
No contributing guide or governance files found
Development Status classifier >= Beta
Partial type annotation coverage
275 type-annotated function signatures detected in source
Limited contributor diversity
1 unique contributor(s) across 100 commits in dev-aly3n/aipagerSingle author but highly active (100 commits)
Heuristic Checks
Found 2 network call pattern(s)
pty.""" try: with urllib.request.urlopen(url, timeout=timeout) as r: return json.try: with urllib.request.urlopen(url, timeout=15) as r: return json.l
No obfuscation patterns detected
Found 6 shell execution pattern(s)
put).""" try: r = subprocess.run( [path, *args], capture_output=True,if capture: r = subprocess.run(cmd, capture_output=True, text=True, check=check).stdout, r.stderr r = subprocess.run(cmd, check=check) return r.returncode, "", "" exrn False try: r = subprocess.run( ["uv", "tool", "list"], capture_outrn False try: r = subprocess.run( ["pipx", "list", "--short"], capturrn False try: r = subprocess.run( ["brew", "list", "aipager"], captur
No credential harvesting patterns detected
No typosquatting candidates detected
Email domain looks legitimate: gmail.com>
All external links appear legitimate
Repository dev-aly3n/aipager appears legitimate
2 maintainer concern(s) found
Author name is missing or very shortAuthor "" appears to have only 1 package on PyPI (new or inactive account)
No known vulnerabilities found in OSV database.
AI App Starter Prompt
Create a mini-application named 'ClaudeTeleControl' that leverages the 'aipager' package to remotely control and manage Claude Code CLI sessions through Telegram. This application should allow users to start, stop, and interact with their dtach-managed Claude Code sessions via Telegram messages. Hereβs a detailed breakdown of the steps and features you need to implement: 1. **Setup Telegram Bot**: First, create a Telegram bot using the official Telegram Bot API. Store your bot token securely. 2. **Install Required Packages**: Ensure you have installed the 'aipager', 'python-telegram-bot', and any other necessary packages. 3. **Integration with 'aipager'**: Utilize the 'aipager' package to handle the backend management of Claude Code CLI sessions. This includes starting, stopping, and controlling these sessions. 4. **Telegram Command Handling**: Implement command handlers in your bot to accept commands like '/start', '/stop', '/list_sessions', etc., to manage the sessions. 5. **Session Management**: Enable users to start new sessions, list all active sessions, and terminate specific sessions via Telegram. 6. **Interactive Session Control**: Allow users to send messages to their running Claude Code sessions through Telegram. These messages should be forwarded to the corresponding session in real-time. 7. **Logging and Notifications**: Integrate logging to track session activities and notify users via Telegram about session status changes. 8. **Security Measures**: Implement basic security measures such as user authentication before allowing them to control sessions. Your goal is to create a seamless and efficient way for developers to manage their Claude Code CLI sessions remotely, enhancing productivity and flexibility.